基于树莓派与深度学习的人脸识别考勤系统  

Face Recognition Attendance System Based on Raspberry Pi and Deep Learning

作　　者：张寅东 陈晓填 张宇雯 ZHANG Yin-dong;CHEN Xiao-tian;ZHANG Yu-wen(School of Computer Science and Cyber Engineering,Guangzhou University,Guangzhou 510006)

机构地区：[1]广州大学计算机科学与网络工程学院

出　　处：《现代计算机》2019年第31期91-95,共5页Modern Computer

基　　金：国家大学生创新训练项目(No.201811078025);广州大学大学生创新训练项目(No.CX2018084)

摘　　要：针对传统考勤方式的各种弊端,设计实现一个基于树莓派的人脸识别考勤系统,该系统由刷脸考勤和考勤管理两部分组成。其中刷脸考勤利用FaceBoxes模型来检测人脸,利用FaceNet模型来识别打卡的人。考勤管理可以增删人员信息,以及对考勤结果进行查询和统计。该系统操作简单,识别准确率高,具有一定的实用价值。Due to the drawbacks of traditional attendance methods,implements a face recognition attendance system based on Raspberry Pi,which consists of two parts:attendance record by recognizing face and attendance management.The attendance system uses the FaceBoxes model to detect faces and utilizes the FaceNet model to identify the persons.The attendance management module includes adding and deleting personnel information,as well as query and do statistics on the attendance results.The system is simple to operate and has high recognition accuracy,which has a certain practical value.

关 键 词：人脸识别 深度学习 考勤系统 树莓派 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]